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The Translational S...
The Translational Status of Cancer Liquid Biopsies
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- Bratulic, Sinisa, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Dept Biol & Biological Engn, Kemivagen 10, Gothenburg, Sweden.
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- Gatto, Francesco, 1987 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers Univ Technol, Dept Biol & Biological Engn, Kemivagen 10, Gothenburg, Sweden.;Elypta, Teknikringen 38, 11428 Stockholm, Sweden.
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- Nielsen, Jens B, 1962 (författare)
- KTH,Genteknologi,Science for Life Laboratory, SciLifeLab,Chalmers Univ Technol, Dept Biol & Biological Engn, Kemivagen 10, Gothenburg, Sweden.;Chalmers Univ Technol, Wallenberg Centre Prot Res, Kemivagen 10, Gothenburg, Sweden,Syst Univ Denmark, Novo Nord Fdn Ctr Biosustainabil, 2800 KGS Lyngby, Denmark.;Bioinnovat Inst, Ole Maaloes Vej 3, 2200 Copenhagen, DK, Denmark.,Chalmers tekniska högskola,Chalmers University of Technology,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH),BioInnovation Institute (BII),Danmarks Tekniske Universitet,Technical University of Denmark
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Chalmers tekniska högskola Chalmers Univ Technol, Dept Biol & Biological Engn, Kemivagen 10, Gothenburg, Sweden (creator_code:org_t)
- 2019-11-25
- 2021
- Engelska.
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Ingår i: Regenerative Engineering and Translational Medicine. - : Springer Science and Business Media LLC. - 2364-4133 .- 2364-4141. ; 7:3, s. 312-352
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Abstract
Ämnesord
Stäng
- Precision oncology aims to tailor clinical decisions specifically to patients with the objective of improving treatment outcomes. This can be achieved by leveraging omics information for accurate molecular characterization of tumors. Tumor tissue biopsies are currently the main source of information for molecular profiling. However, biopsies are invasive and limited in resolving spatiotemporal heterogeneity in tumor tissues. Alternative non-invasive liquid biopsies can exploit patient’s body fluids to access multiple layers of tumor-specific biological information (genomes, epigenomes, transcriptomes, proteomes, metabolomes, circulating tumor cells, and exosomes). Analysis and integration of these large and diverse datasets using statistical and machine learning approaches can yield important insights into tumor biology and lead to discovery of new diagnostic, predictive, and prognostic biomarkers. Translation of these new diagnostic tools into standard clinical practice could transform oncology, as demonstrated by a number of liquid biopsy assays already entering clinical use. In this review, we highlight successes and challenges facing the rapidly evolving field of cancer biomarker research. Lay Summary: Precision oncology aims to tailor clinical decisions specifically to patients with the objective of improving treatment outcomes. The discovery of biomarkers for precision oncology has been accelerated by high-throughput experimental and computational methods, which can inform fine-grained characterization of tumors for clinical decision-making. Moreover, advances in the liquid biopsy field allow non-invasive sampling of patient’s body fluids with the aim of analyzing circulating biomarkers, obviating the need for invasive tumor tissue biopsies. In this review, we highlight successes and challenges facing the rapidly evolving field of liquid biopsy cancer biomarker research.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Klinisk laboratoriemedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Clinical Laboratory Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- Cancer biomarkers
- Liquid biopsy
- Multiomics
- Predictive biomarkers
- Diagnostic biomarkers
- Precision medicine
- Prognostic biomarkers
- Clinical oncology
Publikations- och innehållstyp
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- ref (ämneskategori)
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